1,720,956 research outputs found
Emotional inertia emerges after prolonged states of exhaustion: Evidences from a measurement burst study
Exhaustion refers to the feeling of ongoing loss of emotional, physical and cognitive resources. The present study draws on the Conservation of Resources Theory to examine the relationship between chronic exhaustion and negative emotional inertia among 206 employees (aged between 19 and 50 years; M = 21.03; SD = 2.98), in a naturalistic setting. To this purpose, we used a measurement burst design with two intensive bursts—spaced 1 month apart—by repeatedly sampling exhaustion and negative affect with 18 daily diaries (a morning and an evening assessment each day) per burst. After controlling for potential confounders, results showed that exhaustion at Burst 1 predicted negative emotional inertia at Burst 2, and not the other way around. These findings advance the knowledge on the relationship between exhaustion and negative emotional inertia by providing further insights on the likely direction of causality between study variables, that is from exhaustion to inertia (but not vice versa). Practical implication, limitations, and directions for future research are also discussed
Self-set goals improve academic performance through nonlinear effects on daily study performance
A Bayesian longitudinal moderated mediational model was used to test the effect of students' daily/proximal self-set goals on a final course grade through daily study performance. Thirty-six daily diaries were completed twice a day by 147 sophomore students. Study goals were self-set in the morning and daily performance was self-assessed in the evening. Two independent coders, blind to the hypotheses, evaluated goal specificity and difficulty. The relationship between the goals and final grade was mediated by daily performance, and occurred only in the case of goals high in specificity and of moderate difficulty
Emotional Efficacy Beliefs at Work and Turnover Intentions: The Mediational Role of Organizational Socialization and Identification
In this study we investigated whether regulatory emotional self-efficacy beliefs (RESE) indirectly predict turnover intentions (TI) through organizational socialization (OS) and organizational identification (OI). Three waves of data (1-year lag) were collected on a representative sample of 890 military newcomers belonging to two different cohorts. We tested our hypotheses using a multigroup autoregressive cross-lagged panel model (MG-ACLP) and results fully confirmed the posited theoretical model. Regulatory emotional self-efficacy beliefs reduced intentions to quit indirectly, via organizational socialization and identification. The present study contributes to fill several literature gaps by offering a complete picture of the socialization process. Moreover, it offers insights about how to support the military newcomers’ work adjustment and retention by fostering and developing their regulatory emotional self-efficacy beliefs. Limitations as well as directions for future research are discussed
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Go greener, less risk: Access to nature is associated with lower risk taking in different domains during the COVID-19 lockdown
Specific risk attitude and risky behavior had an important boost during the coronavirus disease 2019 (COVID-19) pandemic. In this contribution, we hypothesize that access to nature during home confinement will decrease both the tendency to passive risk taking and alcohol intake. To do so, we interviewed through an online survey two samples of Italian residents during the strict lockdown due to the first wave of the COVID-19 pandemic. Specifically, in Study 1, participants were 1519 Italian residents coming from different Italian regions, whilst in Study 2, participants were 182 students at a university of southern Italy who were monitored for one week. In Study 1, the hierarchical regression analysis attested that access to nature during the lockdown mitigated the tendency to passive risk taking, over and beyond the effect of socio-demographic variables and the psychological construct of impulsiveness, an important personality correlate of risk taking. In Study 2, the hierarchical regression showed that access to green was associated with fewer glasses of alcohol drunk in a week of lockdown. This effect held over and above the effect of socio-demographic variables and the drinking behavior before the outbreak of the COVID-19 pandemic. In both studies, findings confirmed the beneficial effect of access to nature in specific risk-taking domains. Theoretical future directions, as well as practical implications for the management of the COVID-19 emergency by policymakers, are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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